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Reliability
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Probability a product will perform as promoted for a given time period under given conditions
Functional Failure: does not operate as designed Reliability Failure: does not operate as designed as long as it is supposed to Maintainability: related to durability and refers to once a product breaks, what is the probability it can become functional again
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Inherent Reliability is Designed Reliability
Found by reliability testing
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Achieved Reliability is Empirical
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Infant Mortality Period: if it makes it by time x, then the constant failure rate takes over
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Failure Rate, lambda, is units per hour
lambda = number of failures/total unit operating hours
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Mean Time to Failure MTTF (non repairable) or Mean Time Between Failure MTBF (repairable items) is theta = 1/lambda
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For a given p of failure, what is the p of failure in a given time interval p = e ^ (-lambda (t2-t1)) number happening in given time that is Poisson distributed which means the interval between is exponentially distributed
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Reliability Function R of given time (RT = e^(-lambda * T)
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Reliability of process with Tasks in Serial
R1 times R2… times RN
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Reliability of process with steps in parallel
1-(1-R1)(1-R2)(1-Rn)
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Redundancy and Apollo 13
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